AIQUANT-PHAug 13, 2020

Constructed emotions and superinformation: a constructor-theoretic approach

arXiv:2008.06052v1
Originality Synthesis-oriented
AI Analysis

This work provides a theoretical framework for modeling emotions in cognitive science, but it appears incremental as it extends existing constructor theory to a new domain.

The paper applies constructor theory to the theory of constructed emotions, showing that core affect valence and knowledge can be treated as observables leading to information or superinformation conditions, and connects emotions to quantum algorithms for memory tasks.

In this paper we apply the constructor-theoretic approach to the theory of constructed emotions, showing that core affect valence and knowledge can be considered as two different observables, leading to information or superinformation conditions: this depends on subject's strategy, coherently with the affect infusion model. In the second part of the article we show that additional hypotheses on the structure of information allows to study emotions in terms of the contructor-theoretic version of phase task. Quantum algorithms are presented as an example of the connection between emotions and memory tasks.

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